Approved Courses

All courses that will count toward course requirements for the Cognitive Science major 30 credit hours must come from approved course lists on the website. 

Courses in each of the five core areas are reviewed each term by our area specialists and director to determine if they align with the study of cognitive science and contain sufficient relevant content to count for the major. New and topical courses that change each term are added to the website's approved lists each term to expand course options within the disciplines.

The course information is provided as a courtesy to aid with advising and course selection and should not replace the Student Information System (SIS), which is the official source of course information. If there are any discrepancies between the information listed on this page and that in SIS, the information in SIS should always be considered authoritative. 

A list of approved courses offered on a regular basis may be found at the Undergraduate Record, which is the only official repository of academic program requirements.

Spring 2027

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Cognitive Psychology

PSYC 2005 - Research Methods and Data Analysis I

Credits:  3
Prerequisites: - 
Course Attributes: Quantification, Computation & Data Analysis

Description of course contents:       
Introduces research methods and statistical analysis in psychology. 
Instructor: Eric Shuman, Elise Clerkin

PSYC 2150 - Introduction to Cognition

Credits:  3
Prerequisites: - 
Course Attributes: Living Systems

Description of course contents:       
Cognition is the activity of knowing: the acquisition, organization, and use of knowledge. Emphasizing fundamental issues, this course introduces such basic content areas in cognitive psychology as perception, memory, language, cognitive development, and philosophy of science. An optional weekly review session is offered for those who wish to attend.
Instructor: Daniel Willingham

PSYC 3006 - Research Methods and Data Analysis II

Credits: 4
Prerequisites: Must have completed PSYC 2005 and ONE of the following options, all with a C or higher grade: STAT 1601 or (STAT 1602 AND STAT 2020) or STAT 3080 or PSYC 3310 
Course Attributes: Quantification, Computation & Data Analysis

Description of course contents:       
A continuation of discussion of research methods in psychology, including computer-controlled experimentation, integrated with computer-based exploratory data analysis, and elementary statistical analysis. Three lecture hours, two laboratory hours.
Instructor: Karen Schmidt, M. Joseph Meyer

PSYC 3160 - Cognitive Neuroscience  

*This course can count for the cognitive psychology or neuroscience area, but not both

Credits:  3
Prerequisites: PSYC 2150 and/or PSYC 2200 recommended but not required.
Course Attributes: Living Systems

Description of course contents:
This course is intended as a survey of cognitive neuroscience, with an emphasis on breadth. Each week we will cover one sub-area or topic within cognitive neuroscience including perception, attention, memory, cognitive control and others. Readings will be chapters from the textbook with a few supplemental journal articles.
Instructor: Lauren DiNicola

PSYC 3310 - RM: R Applications in Psychology

Credits:  3
Prerequisites: -
Course Attributes: Quantification, Computation & Data Analysis

Description of course contents:
This course serves as both an introduction to the R programming language for those who haven't had any previous R background, as well as a refresher and an extension of R topics for those who have taken an intro to R course (i.e., STAT 1601 or PSYC 3006) previously or concurrently.  This course is specially tailored to those who have an interest in psychology, with the purpose of preparing students to use R for their psychological research. 
Instructor: M. Joseph Meyer

PSYC 4100 - Neuroscience of Learning, Emotions and Motivation of Functional Behavior

*This course can count for the cognitive psychology or neuroscience area, but not both

Credits:  3
Prerequisites: 3rd or 4th year major in (psychology or cognitive science or neuroscience, or behavioral neuroscience) and completed PSYC 2200 or PSYC 3200 or BIOL 3050 with a grade of D- or higher 
Course Attributes: Living Systems

Description of course contents:
Learning, Emotions and Motivation will be explored from animal models of clinical conditions, historical case studies in humans of brain-derived emotional disturbances, and current innovations to treat brain disorders. These important discoveries will be presented for students to understand underlying biological and neural mechanisms that mediate adaptive changes to motivate healthy behavior. 
Instructor: Cedric Williams

PSYC 4110

*This course can count for as a psychology or linguistics course, but not both.

Credits:  3
Prerequisites: 3rd or 4th year Psychology or Cognitive Science major 
Course Attributes: Living Systems; Second Writing

Description of course contents:       
Topics include psychological and linguistic theory; experimental and empirical studies of linguistic usage; development of language in infants and children; cross-cultural studies of linguistic usage; and the biology of language. 
Instructor: Loncke, Filip T

PSYC 4607: Uniquely Human Social Cognition
Credits:  3
Prerequisites:  None
Enrollment Restrictions:  Enrollment is not allowed in more than one 4000-level or 5000-level PSYC course (except PSYC 4910-4980) per semester and student must be a 3rd or 4th Psychology major or Interdisciplinary-Cognitive Science major.
Description of course contents: One fundamental question in psychology is what makes humans such intensely social beings. In this course we will examine the evolutionary, developmental, and brain foundations that underpin our ultrasocial nature.
Instructor: Grossman

PSYC 5323 

Credits:  3
Prerequisites: Instructor Consent Required; At least 1-2 semesters of previous formal programming experience required (i.e., CS1110 or PSYC 3310).
Course Attributes: -

Description of course contents:       
This course is designed to introduce the statistical language R, with the purpose of preparing students to use and apply quantitative methods in their future psychology research.  Topics may include handling data structures, cleaning data, visualizing and presenting data, and reviewing introductory statistics using R.
Instructor: Meyer Jr., Michael Joseph

PSYC 5500-002 Applications of Brain Mapping w/ MRI

Credits:  3
Prerequisites: 3rd or 4th year Psychology majors/double majors or Arts and Sciences graduate students.
Course Attributes:

Description of course contents:
Current topical offerings in Psychology
Instructor: John Van Horn

EDLF 3701

Credits: 3

Prerequisites: - 

Course Attributes: - 

Description of Course Contents: 
We explore the rapidly evolving intersection of AI and education and ask one of the most pressing questions of our time: Will AI make us better learners and stronger citizens, or will it erode our ability to engage in deep learning? Hear directly from guest innovators, educators, and researchers in these areas. Explore how AI works, its promises and risks, and develop your own ideas for how it should shape the future of education.

Instructor: Atteberry

EDLF 5040

*This course can count for as a psychology or neuroscience course, but not both.

Credits:  3
Prerequisites: -
Course Attributes: -

Description of course contents:       
In this course we will cover theories, methods, and research at the intersection of education and neuroscience and the implications of this work for educational practice. Major topics include research on student development in reading and math, as well as the development of foundational skills that support student learning, including executive functions, emotion regulation, and motivation. 
Instructor: Evans, Tanya M

 

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Neuroscience

PSYC 3160 - Cognitive Neuroscience  

*This course can count for the cognitive psychology or neuroscience area, but not both

Credits:  3
Prerequisites: PSYC 2150 and/or PSYC 2200 recommended but not required.
Course Attributes: Living Systems

Description of course contents:
This course is intended as a survey of cognitive neuroscience, with an emphasis on breadth. Each week we will cover one sub-area or topic within cognitive neuroscience including perception, attention, memory, cognitive control and others. Readings will be chapters from the textbook with a few supplemental journal articles.
Instructor: Lauren DiNicola

PSYC 4100 - Neuroscience of Learning, Emotions and Motivation of Functional Behavior

*This course can count for the cognitive psychology or neuroscience area, but not both

Credits:  3
Prerequisites: 3rd or 4th year major in (psychology or cognitive science or neuroscience, or behavioral neuroscience) and completed PSYC 2200 or PSYC 3200 or BIOL 3050 with a grade of D- or higher 
Course Attributes: Living Systems

Description of course contents:
Learning, Emotions and Motivation will be explored from animal models of clinical conditions, historical case studies in humans of brain-derived emotional disturbances, and current innovations to treat brain disorders. These important discoveries will be presented for students to understand underlying biological and neural mechanisms that mediate adaptive changes to motivate healthy behavior. 
Instructor: Cedric Williams

PSYC 4200 Neural Mechanisms of Behavior

Credits:  3
Prerequisites:  BIOL 3050 or PSYC 2200/3200 or PSYC 3260 
Students must be a 3rd or 4th Psychology, Behavioral Neuroscience, Cognitive Science, or Neuroscience major.
Description of course contents: Introduces basic concepts in neuroanatomy, neurophysiology and neurochemistry needed for an understanding of brain and behavior. PSYC 3210 is recommended.                        

Credits:  3
Instructor: Adema Ribic

PSYC 5500-002 Applications of Brain Mapping w/ MRI

Credits:  3
Prerequisites: 3rd or 4th year Psychology majors/double majors or Arts and Sciences graduate students.
Course Attributes:

Description of course contents:
Current topical offerings in Psychology
Instructor: John Van Horn

BIOL 3050 Introduction to Neurobiology

Credits: 3

Prerequisites:  Must have completed BIOL 2100 (formerly BIOL 2010) or BME 2104 and BIOL 2200 (formerly BIOL 2020) or BIOL 2040

Description of course contents:  Analyzes the concepts of general neurobiology, including basic electrophysiology and electrochemistry, origin of bioelectric potentials, sensory, motor, integrative and developmental neurobiology, and conceptual models of simple learning. Prerequisite: Must have completed BIOL 2010 or BIOL 2100 or BME 2104 and BIOL 2020 or BIOL 2040.  May not take if previously completed BIOL 3170. Analyzes the concepts of general neurobiology, including basic electrophysiology and electrochemistry, origin of bioelectric potentials, sensory, motor, integrative and developmental neurobiology, and conceptual models of simple learning.

Instructors:  Campbell

BIOL 4080

Credits:  3
Prerequisites: Must have completed BIOL 2100 and BIOL 2200 and ONE of the following: BIOL 3000, BIOL 3010, BIOL 3020, BIOL 3040, or BIOL 3050. Student cannot enroll if previously taken BIOL 4559 topic #35 Hormones and Behavior.
Course Attributes: Living Systems

Description of course contents:       
From plants to humans, hormones shape various aspects of organismal form and behavior over contemporary and evolutionary time. Delve into endocrine pathways, hormones' influence on development, and their role in coordinating responses to environmental and physiological stimuli. Gain a deep understanding endocrinology theories, concepts, and methods, and the ability to critically evaluate hormonal impacts on ecosystem and human health.
Instructor: Larson

BIOL 4270 Animal Behavior Laboratory

Credits:  3
Prerequisites: -
Course Attributes: Living Systems

Description of course contents:       
This laboratory course provides hands-on experiences with experimental approaches used to study animal behavior.  The laboratory exercises explore visual and auditory sensory perception, biological clock, reproductive and aggressive behaviors using actively behaving animals such as hamsters, cichlid fish, crickets and electric fish.  Students are given opportunities to design hypothesis-testing experiments in some laboratories.
Instructor: Condron

EDLF 5040

*This course can count for as a psychology or neuroscience course, but not both.

Credits:  3
Prerequisites: -
Course Attributes: -

Description of course contents:       
In this course we will cover theories, methods, and research at the intersection of education and neuroscience and the implications of this work for educational practice. Major topics include research on student development in reading and math, as well as the development of foundational skills that support student learning, including executive functions, emotion regulation, and motivation. 
Instructor: Evans, Tanya M

 

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Linguistics

ANTH 3490: Language and Thought

Credits:  3
Prerequisites: -
Course Attributes: Living Systems; Science & Society

Description of course contents:       
There is almost always more than one way to think about any problem. But could speaking a particular language make some strategies and solutions seem more natural than others to individuals? Can we learn about alternative ways of approaching the external world by studying other languages? The classic proposal of linguistic relativity as enunciated by Benjamin Lee Whorf is examined in the light of recent cross-cultural psycholinguistic research.
Instructor: Danziger

ANTH 5475: Multimodal Interaction

Credits 3

Prerequisites: Prior coursework in linguistic analysis/instructor permission

Description of course contents: Students will build knowledge and practice of the analysis of peoples’ joint-engagement in embodied interactions. We examine the history of the use of film and video in interaction analysis and the affordances of these media for examining spatiotemporal configurations of talk, techniques of body action, and tool use in social interaction. How does action weave together multiple sensory modalities into semiotic webs linking interactions with more durative institutions of social life? What are the theoretical consequences for an anthropology that takes the multimodal construction of meaning seriously? Course includes workshops on video recording, and the transcription and coding of both verbal and non-verbal actions. Transcript analysis “data sessions” will be conducted throughout the term, allowing student to hone their analytical skills for video analysis. Students will work on projects incorporating video production and analysis.

Instructor: Sicoli

EDHS 4030: Speech and Hearing Science

Credits:  3
Prerequisites: -
Course Attributes: -

Description of course contents:       
The course examines principal concepts and procedures for the study of physiologic, perceptual and acoustic aspects of voice, speech and hearing.  The course leads the student into the fascinating world of new applications in daily life, in business, and especially in education and clinical work.
Instructor: Whitfield

FREN 3030: Phonetics

Credits:  3
Prerequisites:  None

Description of course contents: FREN 3030 is an introductory course in French phonetics. It provides basic concepts in articulatory phonetics and phonological theory, and offers students techniques for improving their own pronunciation. The course will cover the physical characteristics of individual French sounds; the relationship between these sounds and their written representation (orthography); the rules governing the pronunciation of "standard French"; the most salient phonological features of selected French varieties; phonetic differences between French and English sounds; and to some extent, ‘la musique du français’, i.e., prosodic phenomena (le rythme, l’accent, l’intonation, la syllabation). Practical exercises in 'ear-training' (the perception of sounds) and 'phonetic transcription' (using IPA) are also essential components of this dynamic course. Prerequisite: FREN 2020 (or equivalent). Course taught in French.

Instructor: Rey

LING 3559: Semantics and Pragmatics

Credits:  3
Prerequisites:  None

Description of course contents: This course looks closely and critically at theories that ask what kinds of categories words and constructions denote (semantics) and theories that ask how linguistic form is related to conversational context (pragmatics). Using elicited data and contextual/natural phrases and sentences, we will attempt to generalize about the cues and information that humans use to construct meaning as they speak. Course fulfills the Theory requirement for Linguistics. 

Instructor:  Mirzayan

PSYC 4110: Psycholinguistics

*NOTE: This course can count as a psychology course or a linguistics course, but not both

Credits:  3
Prerequisites: 3rd or 4th year Psychology or Cognitive Science major
Course Attributes: Living Systems; Second Writing

Description of course contents:       
Topics include psychological and linguistic theory; experimental and empirical studies of linguistic usage; development of language in infants and children; cross-cultural studies of linguistic usage; and the biology of language. 
Instructor: Loncke

SPAN 3000: Phonetics

Credits:  3
Prerequisites: SPAN 3010 (or equivalent)
Course Attributes: -

Description of course contents:
An introduction to the sound system of both Peninsular & Latin Am Spanish. Class discussions focus on how the sounds of Spanish are produced from an articulatory point of view, and how these sounds are organized & represented in the linguistic competence of their speakers. When appropriate, comparisons will be made between Spanish & English or Spanish & other (Romance & non-Romance) languages. Course seeks to improve the student's pronunciation. 
Instructor: Rini, Mendoza

SPAN 3200: Introduction to Hispanic Linguistics

Credits:  3
Prerequisites: Prerequisite:  SPAN 3010 (or equivalent)
Course Attributes: Cultures & Societies of the World

Description of course contents:       
This course offers a formal description of the Spanish language from the following angles of the linguistic discipline: language variation, change and acquisition; phonetics/phonology, morphology, and syntax. Counts for major credit in Spanish and Linguistics. Conducted in Spanish.
Instructor: Ferrando

ANTH 2450: Language & Environment

Credits:  3
Prerequisites: -
Course Attributes: Artistic, Interpretive, & Philosophical Inquiry; Social & Economic Systems

Description of course contents:       
In this course, students rethink assumptions about what "language" and "environment" are. Both depend on living systems to be rendered meaningful, and together we will wrestle with how these two ideas can be brought into relation and the implications associated with different frames of understanding. There are many perspectives on the issues raised in this course, and you will receive a broad introduction to that diversity. 
Instructor: Wendte, Nathan

ANTH 5541: Lakota Language Structures

Credits:  3
Prerequisites:  None
Course Attributes:

Description of course contents:
This course involves learning about the language, culture, and history of the Otʃetʰi ʃakowĩ Oyate, a confederacy of Indigenous Nations of North America whose citizens speak three related languages (with internal dialects): Lakota, Dakota, and Nakota. We will be exploring the grammatical structures of one of the Otʃetʰi ʃakowĩ languages, specifically Lakota (as the course title indicates). We will do so primarily by studying, analyzing, and carefully interacting with sets of short stories, texts, and narratives of different genre from the language. Our exploration will involve a guided journey through archives of Lakota texts, both historical and modern. While studying these texts we will attempt to systematically analyze things like Lakota word and sentence structures while engaging with theories and models that have been used to describe these structures. We will also have a chance to explore the larger historical/typological picture of how the languages of the Otʃetʰi ʃakowĩ people fit within the larger “Siouan” language family.
Instructor: Armik Mirzayan

 

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Philosophy

PHIL 2640: Rational Choice and Happiness
Credits:  3

Description of course contents: In this class, we will examine philosophical puzzles about our ability to make rational choices that affect or determine our own happiness. How can we rationally decide to undergo a significant experience – such as having a child or moving to a new country – when we have no way of knowing what that experience will be like? How can we rationally choose to make decisions about our future?

Instructor:  Barnes

PHIL 2652: Animal Minds and Animal Ethics
Credits:  3

Description of course contents: Other species seem to represent objects in their environments, think about the thoughts of their conspecifics, and perhaps even use language. Some seem to have long-term memory, emotion, and self-awareness. Do they in fact do all of these things, and if so, how, and in what sense? We will engage philosophically with the best scientific evidence available to answer these and similar questions before considering their ethical implications.

Instructor:  Ott

PHIL 3330: Philosophy of the Mind
Credits:  3
Prerequisites:  None
Description of course contents: What is the nature of the mind and why do we find its nature so puzzling? We shall critically examine various theories about the nature of the mind; we shall also discuss the nature of particular kinds of mental states and events, such as beliefs, desires, feelings, sensory experiences, and others.  We shall be especially concerned with the relations between the mind and the body, and, more generally, between the mental and the physical.  Most of the readings will be by contemporary philosophers. (This course satisfies the major concentration requirement in Metaphysics and Epistemology.)
Instructor:  Boone

PHIL 3400: Introduction to Non-Classical Logic
Credits:  3
Description of course contents: An introduction to systems of non-classical logic, including both extensions and revisions to classical logic.  We will look at logical systems that extend classical logic to deal with the phenomena of possibility and time.  We will look at logics that revise classical logic to allow for sentences which are neither true nor false, or sentences which can be both.  We will show how these departures from classical logic can shed light on various philosophical questions.

Instructor:  Cameron

PHIL 3500-002: Seminar Philosophy of Memory
Credits:  3
Prerequisites:  None
Description of course contents: We will explore the nature and philosophical import of memory. Part 1: What is Memoryexamines experiential and causal theories of memory and asks whether memory extends past our bodies and is distinct from imagination. Part 2: Memory and Knowledge asks whether we should dogmatically accept our memories as true, even if they are reconstructive. Part 3: Memory and Personhood asks whether memory is required to remain the same person over time. 

Instructor:  Irving

PHIL 1330: Virtual Worlds and Philosophy

Credits:  3
Prerequisites: -
Course Attributes: Artistic, Interpretive, & Philosophical Inquiry; Science & Society

Description of course contents:
This class explores the intersection of philosophy with issues concerning VR, computer simulation, AI, etc. Can traditional philosophical problems be seen through the lens of VR and AI- and do VR and AI raise new and distinctive philosophical issues? This will show how reflection on modern technologies can help with ancient philosophical questions and how philosophy can help in the development of new technologies and society's response to them.
Instructor: Cameron

 

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Computer Science

PLEASE NOTE: Almost all Computer Science Department (CS) courses are acceptable for the COGS major except CS 1010, CS 1020, and CS 1501 Special Topics courses. CS 1501 (and some 2501) courses are CR/NC grading which means they cannot be used to fulfill major requirements.

Most Cognitive Science students will take one of the CS Department's introductory programming courses. For this semester those are:

CS 1110: Introduction to Programming
Credits:  3
Prerequisites:  None
Description of course contents: A first course in programming, software development, and computer science. Introduces computing fundamentals and an appreciation for computational thinking. No previous programming experience required. Note: CS 1110, 1111, 1112, 1113, and 1120 provide different approaches to teaching the same core material; students may only receive credit for one of these courses. of language.

CS 1112: Introduction to Programming

Credits:  3

Prerequisites:  None

Description of course contents: A first course in programming, software development, and computer science. Introduces computing fundamentals and an appreciation for computational thinking. Prerequisite: Students must have no previous programming experience. Note: CS 1110, 1111, 1112, 1113, and 1120 provide different approaches to teaching the same core material; students may only receive credit for one of these courses.

CS 1113: Introduction to Programming (Cross listed as PHYS 1655)

Credits:  3

Prerequisites:  None

Description of course contents: This class is offered by the Physics department and is cross listed with PHYS1655. This is a new class! Along with an introduction to the PYTHON programming language, the course will introduce three core skills: analyzing data, simulating data, and visualizing data. It assumes no prior programming experience or knowledge about the inner workings of computers. It will concentrate on applications to common problems in science and engineering.

A first course in programming, software development, and computer science. Introduces computing fundamentals and an appreciation for computational thinking. Prerequisite: Students must have no previous programming experience. Note: CS 1110, 1111, 1112, 1113, and 1120 provide different approaches to teaching the same core material; students may only receive credit for one of these courses.

CS 2100 Data Structures and Algorithms  1

Credits:  3
Prerequisites:  Must have completed CS 1110 or CS 1111 or CS 1112 or CS 1113 with a grade of C- or better OR successfully completed the CS 1110 place out test.
Description of course contents: A second course in computing with an emphasis on foundational data structures and program analysis. The course provides a introduction to object oriented programming and the Java programming language, concurrency, and inheritance / polymorphism. Additionally, foundational data structures and related algorithms / analysis are studied. These include lists, stacks, queues, trees, hash tables, and priority queues. Prereq: CS 1100 - CS 1199

CS 2120:  Discrete Mathematics and Theory 1

Credits:  3
Prerequisites: Must have completed CS 1110 or CS 1111 or CS 1112 or CS 1113 with a grade of C- or better OR successfully completed the CS 1110 place out test.
Description of course contents: Introduces discrete mathematics and proof techniques involving first order predicate logic and induction. Application areas include sets, tuples, functions, relations, and combinatorial problems. Prereq: CS 1100 - CS 1199

CS 2130:  Computer Systems and Organization 1

Credits:  3
Prerequisites: Must have completed CS 1110 or CS 1111 or CS 1112 or CS 1113 with a grade of C- or better OR successfully completed the CS 1110 place out test.
Description of course contents: This course covers topics on the computer architecture abstraction hierarchy ranging from a step above silicon to a step below modern programming languages. Students in this course will learn to write low-level code in C and Assembly, how data is stored in memory, the basics of hardware design from gates and registers through general-purpose computers, and legal, ethical, and security issues related to these topics. CS 1100 - CS 1199 and either familiarity with Java, C++, or another C-like language, or concurrent enrollment in CS 2100

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Elective Credit Only

Elective courses can be chosen from any of the five area approved lists or any courses designated as elective-only, and have no minimum or maximum course level.

The following courses can be used for Cognitive Science elective requirement only, and cannot satisfy any area or upper-level requirements:

KINE 3660 - Neuroscience of Exercise

Credits:  3
Prerequisites: -
Course Attributes: -

Description of course contents:       
This course will address the underlying neuroanatomy associated with cognitive function in healthy individuals as well as those with neurocognitive/psychiatric pathologies and diseases. Throughout the semester, students will become consumers of cross- disciplinary research addressing the influence of physical activity and cognitive function.
Instructor: Jacob Resch

ANTH 2120 - The Concept of Culture

Credits:  3
Prerequisites: -
Course Attributes: Artistic, Interpretive, & Philosophical Inquiry, Cultures & Societies of the World

Description of course contents:       
Culture is the central concept that anthropologists use to understand the striking differences among human societies and how people organize the meaningful parts of their lives. In this course we explore this diversity, examine its basis in neuroplasticity and human development, and consider its implications for human nature, cognition, creativity, and identity. By learning about other cultures, we gain new understanding of ourselves.
Instructor: Bashkow


J-Term 2027

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Cognitive Psychology

PSYC 3100 - Learning and the Neuroscience of Behavior

Credits:  3
Prerequisites: -
Course Attributes: Living Systems

Description of course contents:       
the course will examine historical and current theories of learning that provide the foundation for most, if not all forms of an organism's behavior. Students will be exposed to a diverse range of experimental findings that led to principles and concepts that currently explain how environmental, social and emotional factors influence the brain and body to shape human and animal behavior.
Instructor: Williams

 

PSYC 4260 - RM: Genetic and Epigenetic Research in Behavior

Credits: 3
Prerequisites: -
Course Attributes: -

Description of course contents:       
We will discuss basic concepts in genetics/epigenetics and the role these molecular modifications play in behavior and disorder. We will evaluate empirical papers and learn the molecular techniques described within them. Completion of this course should result in increased knowledge of the use of genome level data in psychology and biology.
Instructor: Connelly

 

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Neuroscience

PSYC 3100 - Learning and the Neuroscience of Behavior

Credits:  3
Prerequisites: -
Course Attributes: Living Systems

Description of course contents:       
the course will examine historical and current theories of learning that provide the foundation for most, if not all forms of an organism's behavior. Students will be exposed to a diverse range of experimental findings that led to principles and concepts that currently explain how environmental, social and emotional factors influence the brain and body to shape human and animal behavior.
Instructor: Williams

 

PSYC 4260 - RM: Genetic and Epigenetic Research in Behavior

Credits: 3
Prerequisites: -
Course Attributes: -

Description of course contents:       
We will discuss basic concepts in genetics/epigenetics and the role these molecular modifications play in behavior and disorder. We will evaluate empirical papers and learn the molecular techniques described within them. Completion of this course should result in increased knowledge of the use of genome level data in psychology and biology.
Instructor: Connelly

 

PSYC 4350 - RM: Research Methods in Developmental Cognitive Neuroscience

Credits: 3
Prerequisites: -
Course Attributes: -

Description of course contents:       
This course offers a practical introduction to techniques in developmental cognitive neuroscience including electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI). Students will gain hands-on experience collecting and analyzing neuroscientific data and an understanding of how human neuroscience techniques may inform our understanding of the developing brain. 
Instructor: Puglia

 

 

The information contained on this website is for informational purposes only. The Undergraduate Record represents the official repository for academic program requirements.